LIANGQINGYUAN / NLP-Notebook
NLP学习笔记的Notebook,包含经典模型的理解与相关实践。
☆56Updated 4 years ago
Alternatives and similar repositories for NLP-Notebook:
Users that are interested in NLP-Notebook are comparing it to the libraries listed below
- bert pytorch模型微调用于的多标签文本分类☆129Updated 5 years ago
- 本项目采用Keras和Keras-bert实现文本多标签分类任务,对BERT进行微调。☆66Updated 3 years ago
- 2020 CCF大数据与计算智能大赛-非结构化商业文本信息中隐私信息识别-第7名方案☆74Updated 3 years ago
- 文本分类baseline:BERT、半监督学习UDA、对抗学习、数据增强☆99Updated 3 years ago
- 天池大赛疫情文本挑战赛线上第三名方案分享☆228Updated 3 years ago
- multi-label-classification-4-event-type☆132Updated last year
- 机器检索阅读联合学习,莱斯杯:全国第二届“军事智能机器阅读”挑战赛 rank6 方案☆126Updated 4 years ago
- 利用ALBERT实现文本二分类,判别是否属于政治上的出访类事件,提升模型训练和预测速度。☆73Updated last year
- pytorch implementation of multi-label text classification, includes kinds of models and pretrained. Especially for Chinese preprocessing.☆75Updated 5 years ago
- 微调预训练语言模型,解决多标签分类任务(可加载BERT、Roberta、Bert-wwm以及albert等知名开源tf格式的模型)☆139Updated 4 years ago
- 多标签文本分类☆29Updated 3 years ago
- Clustering text with Bert☆56Updated 4 years ago
- ☆37Updated 4 years ago
- some baselines for lic2020 (http://lic2020.cipsc.org.cn/)☆218Updated 4 years ago
- NLP杂货铺,python实现各种算法/工具,辅助算法理解/应用☆153Updated 3 years ago
- ☆91Updated 4 years ago
- Pytorch进行长文本分类。这里用到的网络有:FastText、TextCNN、TextRNN、TextRCNN、Transformer☆46Updated 4 years ago
- ☆44Updated 4 years ago
- NLP实验:新词挖掘+预训练模型继续Pre-training☆47Updated last year
- 阿里云天池零基础入门NLP比赛_rank4选手比赛总结: https://tianchi.aliyun.com/competition/entrance/531810/introduction☆186Updated 2 years ago
- ☆60Updated 4 years ago
- 本NER项目包含多个中文数据集,模型采用BiLSTM+CRF、BERT+Softmax、BERT+Cascade、BERT+WOL等,最后用TFServing进行模型部署,线上推理和线下推理。☆80Updated 3 years ago
- SEBERTNets:一种面向金融领域的事件主体抽取方法☆194Updated 2 years ago
- 基于pytorch + bert的多标签文本分类(multi label text classification)☆97Updated last year
- A tensorflow 2.x BERT implementation using League of Legends myth data(Chinese).☆35Updated 3 years ago
- 文本二分类任务,是否文档是否属于政治上的出访类事件,利用BERT提取特征,模型采用简单的DNN。☆62Updated 4 years ago
- ☆83Updated 4 years ago
- Bert预训练模型fine-tune计算文本相似度☆100Updated last year
- 中文文本句对相似度匹配-ATEC数据集☆21Updated 4 years ago
- albert + lstm + crf实体识别,pytorch实现。识别的主要实体是人名、地名、机构名和时间。albert + lstm + crf (named entity recognition)